Difference between revisions of "Documentation/4.2/Extensions/circlesDetectionHoughTransform"

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* Mosaliganti K., Gelas A., Cowgill P., Megason S. An Optimized N-Dimensional Hough Filter for Detecting Spherical Image Objects. 2009 Sep.  
 
* Mosaliganti K., Gelas A., Cowgill P., Megason S. An Optimized N-Dimensional Hough Filter for Detecting Spherical Image Objects. 2009 Sep.  
 
[http://hdl.handle.net/10380/3129]
 
[http://hdl.handle.net/10380/3129]
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* Pernelle, Egger, Vale, Chen, Irlinger, Lueth, Wells, Kikinis, Viswanathan and Kapur. Robust Applicator Registration for Interstitial Gynecologic Brachytherapy. ABS 2013 Annual Meeting (submitted)
  
 
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Revision as of 19:46, 21 November 2012

Home < Documentation < 4.2 < Extensions < circlesDetectionHoughTransform


Introduction and Acknowledgements

Authors: Guillaume Pernelle
Contributors: Guillaume Pernelle Contact: Guillaume Pernelle, <email>gpernelle@gmail.com</email>
Website: https://github.com/gpernelle/houghTransform
License: Slicer license

Extension Description

This modules performs a circles detection by implementing the itk class developed by The GoFigure Dev. Team. at Megason Lab, Systems biology, Harvard Medical school, 2009

Modules

Use Cases

Phantom Study

Tutorials

No tutorial

Similar Extensions

N/A

References

  • Mosaliganti K., Gelas A., Cowgill P., Megason S. An Optimized N-Dimensional Hough Filter for Detecting Spherical Image Objects. 2009 Sep.

[1]

  • Pernelle, Egger, Vale, Chen, Irlinger, Lueth, Wells, Kikinis, Viswanathan and Kapur. Robust Applicator Registration for Interstitial Gynecologic Brachytherapy. ABS 2013 Annual Meeting (submitted)

Information for Developers

This is a CLI module. The output is written into a file situated in the same place as where the module is executed. This file can be read back into slicer, see an example of a python script here: python script using json A radius information is also available, please uncomment this part of the code to access it: Radius output